• Ei tuloksia

The main aim of this thesis was to study the effects of forest management on the sustainability of integrated timber and energy wood production in Norway spruce and Scots pine based on scenario analyses using the ecosystem model SIMA, which has been validated in great detail both in earlier studies, but also in this work (Papers II-IV). For this purpose model-based analyses were used to evaluate how the varying pre-commercial stand density and thinning regimes, nitrogen fertilization and rotation length may affect the timber and energy wood production and its profitability (NPV). Concurrently, based on the use of the LCA tool, the effects of management and energy use of biomass on the potential of forests in mitigating the CO2 emissions were studied.. The study dealt mainly with the stand-level analyses for Norway spruce and Scots pine, but also at the forest landscape level of varying age class distributions for Norway spruce. The possible abiotic and biotic risks of energy wood harvest as removal and leaching of nutrients were excluded from this study.

Furthermore, experimental data from a clonal trial of Norway spruce was analyzed in this work to determine the potential offered by different clones for above-ground biomass production (Paper I).

Regarding both Norway spruce and Scots pine, the management with higher pre-commercial stand density than that used in basic management and N fertilization clearly increased timber and energy wood production and also net present value (NPV) regardless of site fertility type and rotation length (Papers II-IV). At the same time it decreased the net CO2 emissions of the energy use of biomass (Papers III-IV). The effects of fertilization

were especially pronounced when the MT site was considered in Norway spruce and VT site in Scots pine, respectively. The differences observed between VT and MT sites in Scots pine were clearly larger than between the MT and OMT sites for Norway spruce. This result is to the effect of the clearly lower nitrogen content of soil on the VT site than on the MT and OMT sites (Kellomäki et al. 2008).

On the other hand, on the MT sites, Scots pine produced, on average, more stem wood and had higher NPV than Norway spruce when similar kind of management regimes were used in simulations (Paper II). This result is related to the faster growth of Scots pine especially in the early phase of the rotation. These findings are in line also, for example, with work by Mielikäinen (1980, 1985), who showed that Scots pine has, on average, higher annual growth compared to Norway spruce on MT site when rotation length of about 80 years were used in Finnish conditions. On medium fertile sites, higher pre-commercial stand density may be preferred for Scots pine, as it increases the quality of the lower part of the stem due to decreased growth and earlier death of branches near the stem base (e.g.

Kellomäki et al. 1999). Based on this study, the increase of pre-commercial stand density compared to that used in basic management will also simultaneously increase the growth and economic profitability of the management (Papers II-IV).

For Norway spruce grown on the OMT and MT fertile sites, the highest annual stem wood production was obtained with the shorter rotation length (40 and 60 years). The annual NPV was the highest with the rotation length of 60 years, regardless of the site fertility and the interest rate used. On average, the lowest annual net CO2 emissions were obtained on the OMT and MT sites with the rotation lengths of 80 and 100 years, respectively. However, when applying management including high pre-commercial stand density and fertilization, the difference was negligible between the rotation lengths of 60 and 80 years (Paper IV).

The positive effects of fertilization and higher pre-commercial stand density on both the production of stem wood and energy wood are also indicated by the negative CO2 balance of forest ecosystem (carbon sink) and the net CO2 emissions of the use of energy wood (Papers III-IV). The emissions were the highest, on average, without fertilization as related to lower growth. However, there were clear differences between Scots pine stands regarding the total stem wood production and the CO2 emissions on the MT and VT sites, i.e. the productivity was clearly lower and CO2 emissions higher (41%) on the VT sites.

This was opposite to Norway spruce on the MT and OMT sites, but on the latter one the productivity was slightly higher.

In this work the increase of timber and energy biomass production by fertilization clearly decreased net CO2 emissions in energy production. This is in line with the results of Sathre et al. (2010) and Eriksson et al. (2007), who found that the forest fertilization can significantly reduce the net GHG emissions and increase the availability of primary energy.

According to the results of this work, the fertilization decreased the net CO2 emissions for Norway spruce on the OMT and MT sites by 17 and 23%, respectively (compared to without fertilization). For Scots pine, the reduction was 12 and 19% on the MT and VT sites as related to the increased growth. Oren et al. (2001) have also emphasized the positive effects of nitrogen fertilization on the carbon sequestration of forest stands. This is in line with the results presented here. Over the life cycle, the net CO2 emission per unit of energy were smaller for energy biomass than those for fossil fuels; i.e. the net emission was 65-152 kg CO2 MWh-1 for Norway spruce and 78-192 kg CO2 MWh-1 for Scots pine with the rotation length of 80 years. As a comparison, the corresponding CO2 emission is 341 kg

CO2 MWh-1 for coal, if excluding emissions for the production and transportation (Statistics Finland 2005).

This work indicated that management had a clear effect on the mean C stock in the forest ecosystem. This was especially the case for the management regimes which allowed a higher tree stocking in the early phase of rotation than in basic management. The same regimes increased also the production of timber and energy wood. Thornley and Cannel (2000) and Garcia-Gonzalo et al. (2007) also earlier suggested that it might be possible to simultaneously increase the timber yield and the C storage in forests by maintaining the tree stocking higher throughout rotation compared to basic management. However, in general, the C stock is highest in the forest ecosystem if no thinning is applied over the rotation. The C stock depends also on the tree species, stand structure and properties of the site (Mäkipää et al. 1998, 1999, Pussinen et al. 2002).

In general, forest bio-energy supply chains seem to be effective in terms of energy input - output ratio. In earlier studies, the energy consumption was found to be 2-3% of produced energy and the CO2 emissions were 4-7 kg CO2 eqvMWha-1, respectively (Wihersaari and Palosuo 2000, Wihersaari 2005). This held also for this study, i.e. the energy consumption varied in the range of 2-3% of that produced based on use of energy wood (Papers III-IV).

Although, the consumption of energy in regard to harvesting, short- and long-distance transportation, chipping and fertilization depend on the management regime applied, the differences are small.

In addition to the use of proper management regimes over the rotation, also the use of the most productive genetic entries in regeneration may increase the potential of biomass recovery in integrated timber and energy wood production. This was found also in experimental data analyses of Norway spruce clones, i.e. large differences existed between clones in the dry mass production of stem wood and total above-ground production (Paper I). This is in line also with the results of Bujold et al. (1996), who suggested that such differences are typical for Norway spruce provenances. The variation in the total above-ground biomass of Norway spruce clones was, in this work (Paper I), related to the variation in the average proportion of stem wood (50-66%), branches (16-25%) and needles (17-26%). These results are in line with those by Johansson (1999), who found that in Norway spruces (about same age) the share of biomass was 15% for needles, 23% for branches and 62% for stem. On the other hand, the variability within the clones was large in this work, which probably could be related to the competition between neighboring trees.

The most productive clone (clone F430) in this work (Paper I) produced potentially up to 165 Mg ha-1 in 28 years (6 Mg ha-1 a-1), if the planting density of 2500 trees ha-1 was assumed. This is 71% above the average for all the clones included in the study, and it substantially exceeds the biomass yield of 43 Mg ha-1 typically provided by Norway spruce in final fellings (Hakkila 2004). The clone F430 showed the largest above-ground growth both in terms of stem wood and crown mass. On the other hand, also the value of harvest index was high for this clone demonstrating large allocation of growth into stem. These properties also make the clone F430 a potential candidate for the combined production of timber and energy biomass. However, these findings are based on the stands with a mixture of clones, and it remains open whether this clone was as successful if grown alone in a pure stand. The preferences of clone mixtures in stands are recommended in order to reduce the risks related to pest and insect attacks and climatic variability (Roberds and Bishir 1997, Bishir and Roberds 1999). Currently, the use of clonal material is also expensive, and it will partly negate the economic profitability of the increased production, which the use of most productive clones might provide for biomass production.

To conclude, through proper forest management timber and energy wood production can be simultaneously increased and the net CO2 emissions caused by energy wood use decreased. Increased forest growth, especially due to the fertilization and higher pre-commercial stand density in the early phase of stand development, induces most of the differences between management regimes regarding the net CO2 emissions. It seems to be possible to produce forest biomass for energy purposes with relatively low CO2 emissions by applying intensive management (especially frequent fertilization). This means that it may be valuable to evaluate the current fertilizing practices applied in Finnish forestry as nowadays fertilization is considered as most profitable in mature Norway spruce (MT sites) and Scots pine stands (VT sites) 10-15 years before final felling (Harstela 2004). In addition to fertilization, also successful regeneration (e.g. tree species/genetic entry and spacing) and suitable pre-commercial stand density and rotation length provide means to increase the production of timber and energy biomass and its profitability, but also means to increase carbon sequestration (and stocks) in forest ecosystem and decrease the CO2

emissions caused by energy wood use. In the future, the effects of rotation length on timber and energy wood production and its profitability and CO2 emissions in pure stands of Scots pine and proper management in mixtures of coniferous and broadleaves should be studied in greater detail, for example. The latter is because very often broadleaves are harvested in energy wood thinning in coniferous stands.

However, in the future studies the long-term effects of the nutrient removal in biomass harvest on the forest productivity and its environmental impacts should be assessed. This is necessary because there is evidence that the harvesting of logging residues increases the loss of nutrients, which may affect the long-term site productivity (Tamm 1969, Mälkönen 1976 , Jacobson et al. 2000, Nord-Larssen 2004). According to Jacobson et al. (2000), the whole-tree harvesting has reduced volume growth in both Scots pine and Norway spruce stands (5 and 6%) during the first 10 years after felling. On the other hand, the leaching of nutrients may also be a problem in fertilization. When compensating for the loss of nutrients in whole-tree harvest, the problem is probably the largest in the first years after fertilization (Saura et al. 1995). By using slow-release fertilizers, the environmental risks of nutrient leaching after fertilization are much lower than in the case of fast-release fertilizers (Saarsalmi and Mälkönen 2001).

REFERENCES

Aber, J.D., Botkin, D.B. and Melillo, J.M. 1978. Predicting the effects of different harvesting regimes on forest floor dynamics in northern hardwoods. Canadian Journal of Forest Research 8: 306–315.

Bishir, J. and Roberds J.H. 1999. On numbers of clones needed for managing risks in clonal forestry. Forest Genetics 6: 149-155.

Bradley, D. 2004. GHG balances of forest sequestration and a bioenergy system, Case study for IEA Bioenergy Task 38 on GHG balance of biomass and bioenergy system;

full report available at: http://www.ieabioenergy-task38.org/

projects/task38casestudies/index1.htm.[Cited 15 Sept 2010]

Bujold, S.J., Simpson, J.D., Beukeveld, J.H.J. and Schneider, M.H. 1996. Relative density and growth of eleven Norway spruce provenances in Central New Brunswick.

Northern Journal of Applied Forestry 13: 124–128.

Cherubini, F., Bird, N.D., Cowie, A., Jungmeier, G., Schlamadinger, B. and Woess-Gallasch, S. 2009. Energy- and greenhouse gas-based LCA of biofuel and bioenergy systems: Key issues, ranges and recommendations. Resources, Conservation and Recycling 53: 434-447.

Consoli, F., Allen, D., Boustead, I., Fava, J., Franklin, W., Jensen, A., Oude, N., Parrish, R., Perriman, R., Postlethwaite, D., Quay, B., Seguin, J. and Vigon, B. 1993.

Guidelines for Life-Cycle Assessment: A "Code of Practice" Society of Environmental Toxicology and Chemistry workshop report.

Cooper, C.F. 1983. Carbon storage in managed forests. Canadian Journal of Forest Research 13: 155–166.

Cowie, A.L. 2004. Greenhouse gas balance of bioenergy systems based on integrated plantation forestry in North East New South Wales, Australia, Case study for IEA Bioenergy Task 38 on GHG balance of biomass and bioenergy system; full report available at: http://www.ieabioenergy - task38.org/projects /task38casestudies /index1.htm. [Cited 15 Sept 2010]

Eriksson, E., Gillespie, R.A., Gustavsson, L., Langvall, O., Olsson, M., Sathre, R. and Stendahl, J. 2007. Integrated carbon analysis of forest management practices and wood substitution. Canadian Journal of Forest Research 37: 671-681.

Finland’s National Forest Programme 2015. 2008. Ministry of Agriculture and Forestry.

Helsinki. 52 p. (In Finnish).

Finnish Statistical Yearbook of Forestry. 2005. Finnish Forest Research Institute. 418 p.

Garcia-Gonzalo, J., Peltola, H., Zubizarreta, A. and Kellomäki, S. 2007. Impacts of forest landscape structure and management on timber production and carbon stocks in the boreal forest ecosystem under changing climate. Forest Ecology and Management 241: 243-257.

Hakkila, P. 2004. Woodenergy technologyprogram 1999-2003. Technology program report 5/204. Tekes- The Finnish Funding Agency for Technology and Innovation.

134 p. (In Finnish).

Harstela, P. 2004. Cost-effective forest management.126 p. (In Finnish).

Helynen, S., Flyktman, M., Asikainen, A. and Laitila, J. 2007. Scenarios on wood-based bioenergy business in Finland for the forestry and forest industry. VTT Research Notes 2397. 66 p. (In Finnish).

Hynynen, J., Ojansuu, R., Hökkä, H., Siipilehto, J., Salminen, H. and Haapala, P. 2002.

Models for predicting stand development in MELA System. Finnish Forest Research Institute, Research Papers 835.116 p.

Hynynen, J., Ahtikoski, A., Siitonen, J., Sievänen R. and Liski, J. 2005. Applying the MOTTI simulator to analyse the effects of alternative management schedules on timber and non-timber production. Forest Ecology and Management 207: 5–18.

Hyytiäinen, K., Ilomäki, S., Mäkelä, A. and Kinnunen, K. 2006. Economic analysis of stand establishment for Scots pine. Canadian Journal of Forest Research 36: 1179–

1189.

IPCC, The intergovenrmental Panel on Climate Change 2000.Special Reports on on Land Use, Land-Use Change, and Forestry, Cambrige University Press. 375 p.

Jacobson, S., Kukkola, M., Mälkönen, E. and Tveite, B. 2000. Impact of whole-tree harvesting and compensatory fertilization on growth of coniferous thinning stands.

Forest Ecology and Management 129: 41-51.

Jarvis, P.G., Ibrom, A. and Linder, S. 2005. Carbon forestry-managing forests to conserve carbon. In: Griffiths, H., Jarvis P.G. (Eds.) The Carbon Balance of Forest Biomes.

Taylor & Francis Group, UK. p. 331-349.

Jobbágy, E. and Jackson, R. 2000. Global controls of forest line elevation in the northern and southern hemispheres. Global Ecology and Biogeography 9: 253-268.

Johansson, T. 1999. Biomass production of Norway spruce (Picea abies L. Karst.) growing of abandoned farmland. Silva Fennica 33: 261–280.

Jungmeier, G. and Schwaiger, H. 2000. Changing carbon storage pools in LCA of bioenergy—a static accounting approach for a dynamic effect, in Life Cycle Assessment on forestry and forestry products, Cost Action E9, Brussels, Belgium;

2000. p. 101–105.

Järvinen, O. and Vänni, T. 1994. Ministry of the Water and Environment mimeograph 579. 68p. (In Finnish).

Kellomäki, S., Väisänen, H., Hänninen, H., Kolström, T., Lauhanen, R., Mattila, U. and Pajari, B. 1992. Sima: A model for forest succession based on the carbon and nitrogen cycles with application to silvicultural management of the forest ecosystem.

Silva Carelica 22: 1–91.

Kellomäki, S., Ikonen, V.-P., Peltola, H. and Kolström, T. 1999. Modelling the structural growth of Scots pine with implications for wood quality. Ecological Modelling, 112:

117-134.

Kellomäki, S., Peltola, H., Nuutinen, T., Korhonen, K.T. and Strandman, H. 2008.

Sensitivity of managed boreal forests in Finland to climate change, with implications for adaptive management. Philosophical Transactions of the Royal Society 363:

2341–2351.

Kilpeläinen, A., Alam, A., Strandman, H. and Kellomäki, S. 2011. Life cycle assessment (LCA) tool for estimating net CO2 exchange of forest production. GCB Bioenergy, In Press.

Kolström, M. 1998. Ecological simulation model for studying diversity of stand structure in boreal forests. Ecological Modelling 111: 17–36.

Kukkola, M. and Nöjd, P. 2000. Increase in growth of the Finnish upland forests in 1950–

1998 due to fertilization. Metsätieteen aikakauskirja 4: 603–612. (In Finnish).

Kuusinen, M. and Ilvesniemi, H. (Eds.) 2008. Energiapuun korjuun ympäristövaikutukset, tutkimusraportti. Tapion ja Metlan julkaisuja. 74 p. (In Finnish).

Kärhä, K., Rönkkö, E. and Gumse, S.I. 2004. Productivity and cutting costs of thinning harvesters. International Journal of Forest Engineering 15: 43-56.

Laasasenaho, J. 1982. Taper curve and volume functions for pine, spruce and birch.

Communicates Instituti Forestalis Fenniae 108: 1-74.

Laitila, J. 2008. Harvesting technology and the cost of fuel chips from early thinnings.

Silva Fennica, 42: 267–283.

Lindfors, L-G., Christiansen, K., Hoffmann, L., Virtanen, Y., Junttila, V. and Hanssen, O-J., Rønning, A., Ekvall, T. and Finnveden, G. 1995. Nordic guidelines on Life-Cycle Assessment. Nord 1995:20. Copenhagen, Nordic Council of Ministers.

Liski, J., Pussinen, A., Pingoud, K., Mäkipää, R. and Karjalainen, T. 2001. Which rotation length is favourable to carbon sequestration? Canadian Journal of Forest Research 31: 2004–2013.

Liski, J., Perruchoudc, D. and Karjalainen, T. 2002. Increasing carbon stocks in the forest soils of western Europe. Forest Ecology and Management 169: 159–175.

Mäkipää, R., Karjalainen, T. Pussinen, A. and Kukkola, M. 1998. Effects of nitrogen fertilization on carbon accumulation in boreal forests: model computations compared with the results of long-term fertilization experiments. Chemosphere 36: 1155-1160.

Mäkipää, R., Karjalainen, T. Pussinen, A. and Kellomäki, S. 1999. Effects of climate change and nitrogen deposition on the carbon sequestration of a forest ecosystem on the boreal zone. Canadian Journal of Forest Research 29: 1490-1501.

Mälkönen, E. 1976. Effect of whole-tree harvesting on soil fertility. Silva Fennica 10:

157-164.

Melillo, J.M., Reilly, J., Kicklighter, D., Gurgel, A., Cronin, T., Paltsev, S., Felzer, B., Wang, X., Sokolov, A. and Schlosser, C.A. 2009. Indirect Emissions from Biofuels:

How Important? Science 326: 1397-1399.

Metinfo - forest information services, Finnish Forest Research Institute. 2009. (Internet site) Available at: http://www.metla.fi/metinfo/tilasto/index.htm (In Finnish). [Cited 20 Aug 2010]

Mielikäinen, K. 1980. Structure and development of mixed pine and birch stands.

Communicates Instituti Forestalis Fenniae 99: 1-82.

Mielikäinen, K. 1985. Effect of an admixture of birch on the structure and development of Norway spruce stand. Communicates Instituti Forestalis Fenniae 133: 1-79.

Nord-Larsen, T. 2002. Stand and site productivity response following whole-tree harvesting in early thinnings of Norway spruce (Picea abies (L.) Karst.). Biomass Bioenergy 23: 1-12.

Oren, R., Ellsworth, D., Johnsen, K., Phillips, N., Ewers, B., Maier, C., Schäfer, K., McCarthy, H., Hendrey, G., McNulty, S. and Katul, G. 2001. Soil fertility limits carbon sequestration by forest ecosystems in a CO2-enriched atmosphere. Nature 411:

469-472.

Owens, J. 1997. Life-cycle assessments: Constraints on moving from inventory to impact assessment. Journal of Industrial Ecology 1: 37-50.

Pussinen, A., Karjalainen, T., Mäkipää, R., Valsta L. and Kellomäki, S. 2002. Forest carbon sequestration and harvests in Scots pine stand under different climate and nitrogen deposition scenarios. Forest Ecology and Management 158: 103-115.

Recommendations for forest management in Finland. 2006. Forestry Development Centre Tapio, Metsäkustannus Oy. 100 p. (In Finnish).

Roberds, J. and Bishir, J. 1997. Risk analyses in clonal forestry. Canadian Journal of Forest Research 27: 425-432.

Rummukainen, A., Heikkilä, J., Sikanen, L., Aarnio, J. and Tahvanainen, T. 2003.

Scenarios of wood procurement. research needs in changing environment. Finnish Forest Research Institute, Research Papers 896. 80 p. (In Finnish).

Saarsalmi, A. and Mälkönen, E. 2001. Forest Fertilization Research in Finland: A Literature Review, Scandinavian Journal of Forest Research 16: 514-535.

Saksa, T. and Kankaanhuhta, V. 2007. Forest regeneration quality and the most important development issues in Southern Finland. Forest regeneration quality control- project final report. 90 p. (In Finnish).

Sathre, R., Gustavsson, L. and Bergh, J. 2010. Primary energy and greenhouse gas implications of increasing biomass production through forest fertilization. Biomass and Bioenergy 34: 572- 581.

Sathre, R., Gustavsson, L. and Bergh, J. 2010. Primary energy and greenhouse gas implications of increasing biomass production through forest fertilization. Biomass and Bioenergy 34: 572- 581.